Title:Evaluation of Electromyogram Signals in the Control of Prosthetic Limb: A Review
Volume: 17
Issue: 1
Author(s): Tanu Sharma*, Krishna Pal Sharma and Karan Veer
Affiliation:
- Department of Computer Science and Engineering, DR BR Ambedkar National Institute of Technology, Jalandhar, India
Keywords:
EMG signal, feature extraction, prosthetics, signal processing, SEMG, central nervous system.
Abstract: Electromyogram (EMG) signals are produced by the human body and are used in prosthetic
design due to their significant functionality with human biomechanics. Engineers are capable
of developing a variety of prosthetic limbs with the advancement of technology in the domain of
biomedical signal processing, as limb amputees can restore their lives with the help of prosthetic
limbs. This current review aimed at determining the signals that are used to monitor the device,
explaining the various steps and techniques involved (such as data acquisition, feature vector conversion
after noise, and redundant data removal), and reviewing previously developed electromyogram-
based prosthetic controls. Furthermore, this study also focuses on a variety of electromyogram-
controlled applications
